摘要
在相关文献的基础上提出一种邻域加权预处理方法，基本解决了运用广义模糊算子进行边缘检测时出现的断线等问题。实验表明本算法相对于几种常用的边缘检测算子而言能获得较好的效果。
The conventional algorithms for edge detection are based on the gray gradient in an image, and it is inevitable to get wide edges . Generalized Fuzzy Operator ( GFO ) is a new efficient algorithm for edge-detection . By use of GFO, a high quality edge image with very low noise can be obtained. This paper presents an improved algorithm of GFO, Before the implement of GFO, a Neighborhood weighted pre-processing is realized to original images, which can help GFO to solve some problems such as discontinuous lines of edges. Our experiments show that this method appears preferable to others.
出处
《中国图象图形学报（A辑）》
CSCD
1999年第2期143-146,共4页
Journal of Image and Graphics
基金
国家自然科学基金
广东省85重点基金
关键词
边缘检测
广义模糊算子
领域加权预处理
图象
Edge detection , Generalized Fuzzy Operator(GFO),Neighborhood weighted pre processing
